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Research on the Strategy of Industrial Structure Optimization Driven by Green Credit Distribution

Author

Listed:
  • Guoping Ding

    (School of Finance and Economics, Jiangsu University, Zhenjiang 212013, China
    These authors contributed equally to this work.)

  • Jingqian Hua

    (School of Finance and Economics, Jiangsu University, Zhenjiang 212013, China
    These authors contributed equally to this work.)

  • Juntao Duan

    (School of Finance and Economics, Jiangsu University, Zhenjiang 212013, China
    These authors contributed equally to this work.)

  • Sixia Deng

    (School of Finance and Economics, Jiangsu University, Zhenjiang 212013, China
    These authors contributed equally to this work.)

  • Wenyu Zhang

    (School of Finance and Economics, Jiangsu University, Zhenjiang 212013, China
    These authors contributed equally to this work.)

  • Yifan Gong

    (School of Finance and Economics, Jiangsu University, Zhenjiang 212013, China
    These authors contributed equally to this work.)

  • Huaping Sun

    (School of Finance and Economics, Jiangsu University, Zhenjiang 212013, China
    School of Economics and Management, Xinjiang University, Urumqi 830046, China)

Abstract

Credit is an important means to promote economic development, while green credit is conducive to the sustainable development of industry. This paper aims to build a multiple linear regression model and a dynamic panel data GMM estimation model to analyze the important factors that affect the optimization of the industrial structure. We then use an analytic hierarchy process to explore the relationship between green credit and industrial optimization. We compare this with the optimization rate of the industrial structure according to the real data, and then obtain the effectiveness of the hierarchical analysis of the three major industries in the eastern, central and western regions. Finally, neural networks are used to forecast the total amount and distribution of green credit in 2021. The final results show that there are regional and industrial differences in the influence of green credit on industrial structure optimization, and in the process of using green credit to promote the optimization and upgrading of industrial structure.

Suggested Citation

  • Guoping Ding & Jingqian Hua & Juntao Duan & Sixia Deng & Wenyu Zhang & Yifan Gong & Huaping Sun, 2022. "Research on the Strategy of Industrial Structure Optimization Driven by Green Credit Distribution," Sustainability, MDPI, vol. 14(15), pages 1-17, July.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:15:p:9360-:d:876435
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    1. Chuanjia Du & Chengjun Wang & Tao Feng, 2023. "The Impact of China’s National Sustainable Development Experimental Zone Policy on Energy Transition," Sustainability, MDPI, vol. 15(10), pages 1-21, May.

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